4.8 Article

A genome-wide analysis of putative functional and exonic variation associated with extremely high intelligence

期刊

MOLECULAR PSYCHIATRY
卷 21, 期 8, 页码 1145-1151

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NATURE PUBLISHING GROUP
DOI: 10.1038/mp.2015.108

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资金

  1. European Research Council [295366]
  2. John Templeton Foundation [13575]
  3. United States Public Health Service Grants
  4. National Institute on Alcohol Abuse and Alcoholism [AA09367, AA11886]
  5. National Institute on Drug Abuse [DA05147, DA13240, DA024417, DA036216]
  6. National Institute on Mental Health [MH066140]
  7. UK Medical Research Council [G0901245, G19/2, 092731]
  8. MRC [G0901245, G19/2, G0500079, MC_UU_12013/1] Funding Source: UKRI
  9. Medical Research Council [G0901245, MC_UU_12013/1, MC_PC_15018, G0500079, G19/2] Funding Source: researchfish

向作者/读者索取更多资源

Although individual differences in intelligence (general cognitive ability) are highly heritable, molecular genetic analyses to date have had limited success in identifying specific loci responsible for its heritability. This study is the first to investigate exome variation in individuals of extremely high intelligence. Under the quantitative genetic model, sampling from the high extreme of the distribution should provide increased power to detect associations. We therefore performed a case-control association analysis with 1409 individuals drawn from the top 0.0003 (IQ > 170) of the population distribution of intelligence and 3253 unselected population-based controls. Our analysis focused on putative functional exonic variants assayed on the Illumina HumanExome BeadChip. We did not observe any individual protein-altering variants that are reproducibly associated with extremely high intelligence and within the entire distribution of intelligence. Moreover, no significant associations were found for multiple rare alleles within individual genes. However, analyses using genome-wide similarity between unrelated individuals (genome-wide complex trait analysis) indicate that the genotyped functional protein-altering variation yields a heritability estimate of 17.4% (s.e. 1.7%) based on a liability model. In addition, investigation of nominally significant associations revealed fewer rare alleles associated with extremely high intelligence than would be expected under the null hypothesis. This observation is consistent with the hypothesis that rare functional alleles are more frequently detrimental than beneficial to intelligence.

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